Displaying 20 results from an estimated 1000 matches similar to: "accessing info in object slots from listed objects using loops"
2009 Sep 29
3
How do I access class slots from C?
Hi
I'm trying to implement something similar to the following R snippet using
C. I seem to have hit the wall on accessing class slots using C.
library(fPortfolio)
lppData <- 100 * LPP2005.RET[, 1:6]
ewSpec <- portfolioSpec()
nAssets <- ncol(lppData)
setWeights(ewSpec) <- rep(1/nAssets, times = nAssets)
ewPortfolio <- feasiblePortfolio(
data = lppData,
spec = ewSpec,
2009 Jul 10
3
strange strsplit gsub problem 0 is this a bug or a string length limitation?
I was working with the rmetrics portfolioBacktesting function and dug into
the code to try to find why my formula with 113 items, i.e. A1 thru A113,
was being truncated and I only get 85 items, not 113.
Is it due to a string length limitation in R or is it a bug in the strsplit
or gsub functions, or in my string?
I'd very much appreciate any suggestions
============Input script:
2015 May 21
3
Fix for bug in arima function
On 21 May 2015, at 12:49 , Martin Maechler <maechler at lynne.stat.math.ethz.ch> wrote:
>>>>>> peter dalgaard <pdalgd at gmail.com>
>>>>>> on Thu, 21 May 2015 11:03:05 +0200 writes:
>
>> On 21 May 2015, at 10:35 , Martin Maechler <maechler at lynne.stat.math.ethz.ch> wrote:
>
>>>>
>>>> I noticed that
2013 May 05
1
slope coefficient of a quadratic regression bootstrap
Hello,
I want to know if two quadratic regressions are significantly different.
I was advised to make the test using
step 1 bootstrapping both quadratic regressions and get their slope
coefficients.
(Let's call the slope coefficient *â*^1 and *â*^2)
step 2 use the slope difference *â*^1-*â*^2 and bootstrap the slope
coefficent
step 3 find out the sampling distribution above and
2011 May 01
1
Different results of coefficients by packages penalized and glmnet
Dear R users:
Recently, I learn to use penalized logistic regression. Two packages
(penalized and glmnet) have the function of lasso.
So I write these code. However, I got different results of coef. Can someone
kindly explain.
# lasso using penalized
library(penalized)
pena.fit2<-penalized(HRLNM,penalized=~CN+NoSus,lambda1=1,model="logistic",standardize=TRUE)
pena.fit2
2009 Feb 19
1
Read.table not reading in all columns
Hello,
I am reading in a file called fit2.txt (Limma). fit2.txt has 38 columns but when I dim(fit2) I only get 6 columns. The first column that it does not read in is df.residual.
fit2<-read.table(fit2, file="fit2.txt",sep="\t",quote="",comment.char="",as.is=TRUE)
The first few lines of fit2.txt (does not include all 38 columns) looks like this:
2008 Aug 12
1
fPortfolio constraints, maxsumW
Running R version 2.6.1 under Gentoo Linux and using the fPortfolio
package, I am having trouble specifying a sector constraint. One of the
constraints to be imposed is that assets 1 and 2 together account for no
more than 13.63% of the portfolio. My attempt at coding that
constraint, "maxsumW[1:2Assets]=13.63" fails. The relevant section of
my code file and the resulting error
2011 Mar 25
2
A question on glmnet analysis
Hi,
I am trying to do logistic regression for data of 104 patients, which
have one outcome (yes or no) and 15 variables (9 categorical factors
[yes or no] and 6 continuous variables). Number of yes outcome is 25.
Twenty-five events and 15 variables mean events per variable is much
less than 10. Therefore, I tried to analyze the data with penalized
regression method. I would like please some of the
2017 Dec 20
1
Nonlinear regression
You also need to reply-all so the mailing list stays in the loop.
--
Sent from my phone. Please excuse my brevity.
On December 19, 2017 4:00:29 PM PST, Timothy Axberg <axbergtimothy at gmail.com> wrote:
>Sorry about that. Here is the code typed directly on the email.
>
>qe = (Qmax * Kl * ce) / (1 + Kl * ce)
>
>##The data
>ce <- c(15.17, 42.15, 69.12, 237.7, 419.77)
2011 May 29
1
Fitting spline using Pspline
Hey all,
I seem to be having trouble fitting a spline to a large set of data using
PSpline. It seems to work fine for a data set of size n=4476, but not for
anything larger (say, n=4477). For example:
THIS WORKS:
-----------------------------
random = array(0,c(4476,2))
random[,1] = runif(4476,0,1)
random[,2] = runif(4476,0,1)
random = random[order(random[,1]),]
plot(random[,1],random[,2])
2009 May 12
1
questions on rpart (tree changes when rearrange the order of covariates?!)
Greetings,
I am using rpart for classification with "class" method. The test data is
the Indian diabetes data from package mlbench.
I fitted a classification tree firstly using the original data, and then
exchanged the order of Body mass and Plasma glucose which are the
strongest/important variables in the growing phase. The second tree is a
little different from the first one. The
2010 Mar 29
1
stuck with affy / limma
Hi,
I have a question concerning the analysis of some affymetrix chips. I
downloaded some of the data from GEO GSE11324 (see below). In doing so I'm
stuck after I identified the probesets with significant changes. I have
problems in assigning probeset specific gene names as well as getting the
genomic coordinates. Furthermore I have no clue how to deal with the fact,
that most genes have
2009 Jul 28
2
A hiccup when using anova on gam() fits.
I stumbled across a mild glitch when trying to compare the
result of gam() fitting with the result of lm() fitting.
The following code demonstrates the problem:
library(gam)
x <- rep(1:10,10)
set.seed(42)
y <- rnorm(100)
fit1 <- lm(y~x)
fit2 <- gam(y~lo(x))
fit3 <- lm(y~factor(x))
print(anova(fit1,fit2)) # No worries.
print(anova(fit1,fit3)) # Likewise.
print(anova(fit2,fit3)) #
2017 Dec 20
0
Nonlinear regression
Should I repost the question with reply-all?
On Tue, Dec 19, 2017 at 6:13 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us>
wrote:
> You also need to reply-all so the mailing list stays in the loop.
> --
> Sent from my phone. Please excuse my brevity.
>
> On December 19, 2017 4:00:29 PM PST, Timothy Axberg <
> axbergtimothy at gmail.com> wrote:
> >Sorry about
2017 Dec 20
1
Nonlinear regression
G'day Timothy,
On Tue, 19 Dec 2017 18:28:00 -0600
Timothy Axberg <axbergtimothy at gmail.com> wrote:
> Should I repost the question with reply-all?
Nope, we got all from Jeff's post. :)
> On Tue, Dec 19, 2017 at 6:13 PM, Jeff Newmiller
> <jdnewmil at dcn.davis.ca.us> wrote:
>
> > You also need to reply-all so the mailing list stays in the loop.
> >
2009 May 04
1
Nelson-Aalen estimator of cumulative hazard
Hi,
I am computing the Nelson-Aalen (NA) estimate of baseline cumulative hazard in two different ways using the "survival" package. I am expecting that they should be identical. However, they are not. Their difference is a monotonically increasing with time. This difference is probably not large to make any impact in the application, but is annoyingly non-trivial for me to just
2010 Apr 01
1
predicted time length differs from survfit.coxph:
Hello All,
Does anyone know why length(fit1$time) < length(fit2$n) in survfit.coxph
output? Why is the predicted time length is not the same as the number of
samples (n)?
I tried: example(survfit.coxph).
Thanks,
parmee
> fit2$n
[1] 241
> fit2$time
[1] 0 31 32 60 61 152 153 174 273 277 362
365 499 517 518 547
[17] 566 638 700 760 791
2011 Jan 26
2
Extracting the terms from an rpart object
Hello all,
I wish to extract the terms from an rpart object.
Specifically, I would like to be able to know what is the response variable
(so I could do some manipulation on it).
But in general, such a method for rpart will also need to handle a "." case
(see fit2)
Here are two simple examples:
fit1 <- rpart(Kyphosis ~ Age + Number + Start, data=kyphosis)
fit1$call
fit2 <-
2010 Jan 19
1
A model-building strategy in mixed-effects modelling
Dear all,
Consider a completely randomized block design (let's use data(Oats)
irrespoctive of the split-plot design it was arranged in). Look:
library(nlme)
fit <- lme(yield ~ nitro, Oats, random = ~1|Block, method="ML")
fit2 <- lm(yield ~ nitro + Block, Oats)
anova(fit, fit2)
gives this:
Model df AIC BIC logLik Test L.Ratio p-value
fit 1 4 624.3245
2011 Apr 02
3
Plotting MDS (multidimensional scaling)
Hi,
I just encountered what I thought was strange behavior in MDS. However, it
turned out that the mistake was mine. The lesson learned from my mistake is
that one should plot on a square pane when plotting results of an MDS. Not
doing so can be very misleading. Follow the example of an equilateral
triangle below to see what I mean. I hope this helps others to avoid this
kind of headache.